Some people find it useful to talk through their problems—but language isn't necessary for logical reasoning, cognitive ...

Abstract: Theory of Mind (ToM) is of great significance in human cognition and social reasoning. With the development of Large Language Models (LLMs), exploring the ToM capabilities of these models ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

AI can help with apologies and hard choices. The danger is not the answer it gives, but what you hand over to get it: ...

People can be either born with aphantasia or develop it later, but it’s typically not considered a disability or medical ...

Aphantasia, the inability to form mental images, poses a serious challenge to an influential theory of abstract thought in ...

Seattle-based artificial intelligence research institute Ai2, the Allen Institute for AI, today announced its next-generation open-source foundation artificial intelligence models, aimed at enabling ...

The ARC Prize Foundation analyzed 160 game runs of OpenAI's GPT-5.5 and Anthropic's Opus 4.7 on the ARC-AGI-3 benchmark. The results reveal three systematic error ...

Abstract: In recent years, small-sample blind image quality assessment (BIQA) has gained considerable attention for its ability to minimize dependence on expensive labeled data. However, as the sample ...

Pairing VL-PRMs trained with abstract reasoning problems results in strong generalization and reasoning performance improvements when used with strong vision-language models in test-time scaling ...

Abstract thinking helps you find patterns in data and explain meaning through stories and ideas. It also supports humor, creativity, and problem-solving beyond what you can observe. Concrete thinking ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...